Zobrazeno 1 - 10
of 496
pro vyhledávání: '"Marino Joseph"'
Histology slide digitization is becoming essential for telepathology (remote consultation), knowledge sharing (education), and using the state-of-the-art artificial intelligence algorithms (augmented/automated end-to-end clinical workflows). However,
Externí odkaz:
http://arxiv.org/abs/2405.08169
Autor:
SIMA Team, Raad, Maria Abi, Ahuja, Arun, Barros, Catarina, Besse, Frederic, Bolt, Andrew, Bolton, Adrian, Brownfield, Bethanie, Buttimore, Gavin, Cant, Max, Chakera, Sarah, Chan, Stephanie C. Y., Clune, Jeff, Collister, Adrian, Copeman, Vikki, Cullum, Alex, Dasgupta, Ishita, de Cesare, Dario, Di Trapani, Julia, Donchev, Yani, Dunleavy, Emma, Engelcke, Martin, Faulkner, Ryan, Garcia, Frankie, Gbadamosi, Charles, Gong, Zhitao, Gonzales, Lucy, Gupta, Kshitij, Gregor, Karol, Hallingstad, Arne Olav, Harley, Tim, Haves, Sam, Hill, Felix, Hirst, Ed, Hudson, Drew A., Hudson, Jony, Hughes-Fitt, Steph, Rezende, Danilo J., Jasarevic, Mimi, Kampis, Laura, Ke, Rosemary, Keck, Thomas, Kim, Junkyung, Knagg, Oscar, Kopparapu, Kavya, Lawton, Rory, Lampinen, Andrew, Legg, Shane, Lerchner, Alexander, Limont, Marjorie, Liu, Yulan, Loks-Thompson, Maria, Marino, Joseph, Cussons, Kathryn Martin, Matthey, Loic, Mcloughlin, Siobhan, Mendolicchio, Piermaria, Merzic, Hamza, Mitenkova, Anna, Moufarek, Alexandre, Oliveira, Valeria, Oliveira, Yanko, Openshaw, Hannah, Pan, Renke, Pappu, Aneesh, Platonov, Alex, Purkiss, Ollie, Reichert, David, Reid, John, Richemond, Pierre Harvey, Roberts, Tyson, Ruscoe, Giles, Elias, Jaume Sanchez, Sandars, Tasha, Sawyer, Daniel P., Scholtes, Tim, Simmons, Guy, Slater, Daniel, Soyer, Hubert, Strathmann, Heiko, Stys, Peter, Tam, Allison C., Teplyashin, Denis, Terzi, Tayfun, Vercelli, Davide, Vujatovic, Bojan, Wainwright, Marcus, Wang, Jane X., Wang, Zhengdong, Wierstra, Daan, Williams, Duncan, Wong, Nathaniel, York, Sarah, Young, Nick
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order t
Externí odkaz:
http://arxiv.org/abs/2404.10179
Autor:
Ghahremani, Parmida, Marino, Joseph, Hernandez-Prera, Juan, de la Iglesia, Janis V., Slebos, Robbert JC, Chung, Christine H., Nadeem, Saad
We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients. Specifically, the same tumor sections were stained with the expensive multi
Externí odkaz:
http://arxiv.org/abs/2305.16465
Autor:
Piche, Alexandre, Thomas, Valentin, Marino, Joseph, Pardinas, Rafael, Marconi, Gian Maria, Pal, Christopher, Khan, Mohammad Emtiyaz
Bootstrapping is behind much of the successes of Deep Reinforcement Learning. However, learning the value function via bootstrapping often leads to unstable training due to fast-changing target values. Target Networks are employed to stabilize traini
Externí odkaz:
http://arxiv.org/abs/2210.12282
In the clinic, resected tissue samples are stained with Hematoxylin-and-Eosin (H&E) and/or Immunhistochemistry (IHC) stains and presented to the pathologists on glass slides or as digital scans for diagnosis and assessment of disease progression. Cel
Externí odkaz:
http://arxiv.org/abs/2204.04494
The growing complexity of spatial and structural information in 3D data makes data inspection and visualization a challenging task. We describe a method to create a planar embedding of 3D treelike structures using their skeleton representations. Our
Externí odkaz:
http://arxiv.org/abs/2202.10551
Autor:
Martinez, Genesee J., Kipp, Zachary A., Lee, Wang-Hsin, Bates, Evelyn A., Morris, Andrew J., Marino, Joseph S., Hinds, Terry D., Jr.
Publikováno v:
In Prostaglandins and Other Lipid Mediators August 2024 173
While recent machine learning research has revealed connections between deep generative models such as VAEs and rate-distortion losses used in learned compression, most of this work has focused on images. In a similar spirit, we view recently propose
Externí odkaz:
http://arxiv.org/abs/2107.13136
Autor:
Piché, Alexandre, Thomas, Valentin, Pardinas, Rafael, Marino, Joseph, Marconi, Gian Maria, Pal, Christopher, Khan, Mohammad Emtiyaz
Bootstrapping is behind much of the successes of deep Reinforcement Learning. However, learning the value function via bootstrapping often leads to unstable training due to fast-changing target values. Target Networks are employed to stabilize traini
Externí odkaz:
http://arxiv.org/abs/2106.02613
Autor:
Marino, Joseph, Sikachi, Rutuja R., Ramkumar, Prem N., Baichoo, Nadia, Germano, James A., Sison, Cristina, Lesser, Martin L., Gould, J. Scott, Mont, Michael A., Scuderi, Giles R.
Publikováno v:
In The Journal of Arthroplasty January 2024 39(1):44-48